Titlebook: Artificial Intelligence and Its Applications; Proceeding of the 2n Brahim Lejdel,Eliseo Clementini,Louai Alarabi Conference proceedings 202

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GPS/IMU in Direct Configuration Based on Extended Kalman Filter Controlled by Degree of Observabili, and Global Positioning System (GPS). However, this INS-GPS system requires in generally a robust architecture such as an Extended Kalman Filter (EKF) approach in direct configuration, by reason of its properties of extensive evaluations of nonlinear equations. In addition, a practical approach for

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Recognizing Arabic Handwritten Literal Amount Using Convolutional Neural Networks,on field where the challenges for the Arabic language are stilling. Despite their high importance and performances, for the best of our acknowledge, deep learning techniques have not been investigated in the context of Arabic handwritten literal amount recognition. The main aim of this paper is to i

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,Multi Agent Systems Based CPPS – An Industry 4.0 Test Case,trial world. This adoption is leading to the transformation of the mechatronic systems used in production into Cyber-Physical Production Systems. Such a concept is taking industrial Automation and computer integrated manufacturing to the next level. The massive migration of traditional production sy

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,Ranking Social Media News Feeds: A Comparative Study of Personalized and Non-personalized Predictioer, a single non-personalized model has been used to predict the relevance for all users. However, as user interests and preferences are different, we believe that using a personalized model for each user is crucial to refine the ranking. In this work, to predict the relevance of news feed updates a

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Gilles Rouet,Stela Raytcheva,Thierry Cômeightforward solution to indoor positioning. Solutions based on Wi-Fi signal strength work in favor of the idea of controlling infrastructure costs. Our work attempts to explore other learning algorithms and make more robust trade-offs between accuracy and power. Our work also focuses on using classi

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Gilles Rouet,Stela Raytcheva,Thierry Côme-ISR and OC-HSR, respectively, applied to the offline signature verification. Usually, symbolic verification models are built straightforward from the feature space. The proposed work explores an alternative approach based on the use of feature-dissimilarities generated from Curvelet Transform (CT)

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